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Remote Human Performance Exercise Science Jobs in Arkansas

Teleflora

Data Scientist, Modeler

Paragould, AR · On-site +1

This role combines traditional data science (forecasting, LTV modeling, experimentation validation ... Marketing performance and demand planning * Partner with Finance and Leadership on budgeting and ...

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Remote Human Performance Exercise Science information

What is a remote human performance exercise science professional?

A Remote Human Performance Exercise Science professional is someone who applies principles of exercise science to optimize clients’ physical performance, health, and recovery, all while working remotely. They may design and monitor fitness programs, conduct virtual assessments, and provide coaching or guidance through digital platforms. These professionals work with athletes, employees, or general populations to improve strength, endurance, flexibility, and overall well-being. Remote roles leverage technology for communication, data tracking, and program modification, making high-quality support accessible from anywhere.

What is the difference between Remote Human Performance Exercise Science vs Remote Sports Performance Coach?

AspectRemote Human Performance Exercise ScienceRemote Sports Performance Coach
CredentialsCertifications like NSCA-CSCS, NASM-CES, or ACSM certificationsSimilar certifications, often with additional coaching-specific credentials
Work EnvironmentResearch settings, clinical environments, or remote consultingRemote coaching, athlete training programs, and performance optimization
Industry UsageHealthcare, rehabilitation, research, and performance labsSports teams, individual athletes, fitness centers
Search & ComparisonOften compared for roles involving exercise science and performance optimizationMore focused on coaching athletes remotely

Remote Human Performance Exercise Science and Remote Sports Performance Coach roles share many certifications and work environments, but the former leans more toward research and clinical applications, while the latter emphasizes coaching athletes remotely for performance enhancement.

What jobs can I get with a remote human performance exercise science degree?

A degree in remote human performance exercise science can qualify you for roles such as exercise physiologist, fitness trainer, strength and conditioning coach, or wellness coach. These positions often involve developing training programs, assessing physical performance, and providing health guidance, sometimes requiring certifications like ACSM or NSCA. Many of these jobs can be performed remotely or in fitness facilities, with a focus on health promotion and physical optimization.

What are some common challenges faced by professionals in remote human performance exercise science roles?

Professionals in remote human performance exercise science often face challenges related to client engagement and effective communication. Without in-person supervision, it can be difficult to monitor clients' exercise form and adherence to prescribed programs. Building strong relationships and maintaining motivation remotely requires creative use of technology, regular check-ins, and clear instructional materials. Additionally, collaborating with interdisciplinary teams—such as nutritionists or physical therapists—may require proactive communication to ensure coordinated care despite working from different locations.

What are the key skills and qualifications needed to thrive as a remote human performance exercise science professional?

To thrive as a Remote Human Performance Exercise Science professional, you need a strong background in exercise physiology, biomechanics, and program development, typically supported by a relevant bachelor's or master's degree and certifications like ACSM or NSCA. Familiarity with remote coaching platforms, fitness tracking software, and virtual assessment tools is essential. Excellent communication, motivational skills, and adaptability are crucial for engaging and supporting clients online. These skills ensure effective program delivery, client adherence, and optimal performance outcomes in a remote setting.

What are the most commonly searched types of Human Performance Exercise Science jobs in Arkansas?

The most popular types of Human Performance Exercise Science jobs in Arkansas are:

What are popular job titles related to Remote Human Performance Exercise Science jobs in Arkansas?

For Remote Human Performance Exercise Science jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Remote Human Performance Exercise Science jobs in Arkansas look for?

The top searched job categories for Remote Human Performance Exercise Science jobs in Arkansas are:

What cities in Arkansas are hiring for Remote Human Performance Exercise Science jobs?

Cities in Arkansas with the most Remote Human Performance Exercise Science job openings:

Remote Human Performance Exercise Science jobs near you
Infographic showing various Remote Human Performance Exercise Science job openings in Arkansas as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 3% In-person, and 97% Remote job distribution.

Staff, Data Scientist (Pricing)

Walmart

Bentonville, AR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,421 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers

Job description

Position Summary...What you'll do...Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.
This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available.
About the Role:
TheWalmart Global Tech Applied AI Data Science teamis looking for aStaff Data Scientistto work alongside our team of data scientists to build complex,cutting edge, and scalable algorithms for ourPricing organization. We are shaping the future of retail and are ready to work closely with merchants to solve their problems.
About the Team:
The Applied AI team researches and develops advanced algorithms that power strategic decision-making across pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout. You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions at enterprise scale.
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and statistics to solve complex pricing and retail challenges. We develop innovative AI solutions that directly influence business strategy and customer experience, and our research is regularly published in top-tier conferences and journals.
What You'll Do:
  • Design and deploy prescriptive ML models to address high-impact pricing and markdown needs, ensuring alignment with Walmart's Global Tech strategy and EDLP integrity.
  • Perform elasticity analysis across large data sets and category segments to empower data-driven pricing decisions.
  • Own the E2E Price Recommendation lifecycle, including scoping, feature engineering, causal modeling, experimentation (A/B testing), and ongoing performance optimization.
  • Develop advanced pricing and optimization solutions using:Causal Inference & Elasticity: Identification of treatment effects beyond simple log-log approaches (Double ML, Instrumental Variables, Uplift modeling); Optimization & Reinforcement Learning: Multi-armed bandits, Deep RL
    (PPO, DQN) for sequential decision-making, and constrained optimization; Deep Learning: Modern architectures for demand sensing and price-response
    curves; Uncertainty Quantification: Bayesian approaches and conformal prediction to manage the risk of price changes.
  • Build explainable pricing systems: Provide model interpretability and stakeholder-facing narratives on "why" a price recommendation was made (e.g., competitor move vs. inventory health).
  • Apply graph-based modeling to capture cannibalization and halo effects across product hierarchies and spatial locations (GNNs, temporal graphs).
  • Establish strong evaluation and monitoring: Backtesting against historical price changes, drift detection, and calibration of price-response curves.
  • Drive best practices in AgentOps: Build Agentic workflows to enable chat-based price explainability and "what-if" scenario planning for Merchants.
  • Collaborate and Mentor: Partner with Product, Business, and Engineering to set technical direction and mentor the next generation of MLEs.

What You'll Bring:
  • 8+ years in Data Science / Applied ML (or PhD + 5 years), with deep hands-on exposure to pricing, elasticity, or causal modeling.
  • Demonstrated experience delivering production-grade optimization models with measurable financial outcomes (e.g., Margin lift, Inventory turnover).
  • Strong knowledge of pricing dynamics: Seasonality, competitor indexing, promotional impact, regime changes, and price-point psychology.
  • Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and modern architectures for decision-focused AI.
  • Practical experience with Explainable AI (XAI) and communicating complex modelreasoning to non-technical business stakeholders.
  • Excellent coding skills in Python; strong grasp of software engineering fundamentals (testing, CI/CD, MLOps).

Preferred Qualifications:
  • Experience with Causal Inference & Decision Science: Impact estimation,counterfactuals, and policy evaluation.
  • Advanced Graph Learning: Using GNNs to model cross-item elasticity and substitution patterns.
  • Large-scale Data/Compute: Experience with Spark, Feature Stores, and distributed training in a cloud environment (GCP/Azure).
  • Building Human-Centered AI: Dashboards for "driver decomposition" and "why the price changed" analysis.
  • Agentic Frameworks: Experience deploying LLM-based agents to act as intermediariesbetween complex models and business users.

About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.That'swhat we do at Walmart Global Tech.We'rea team of software engineers, data scientists, cybersecurityexpertsand service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstarta great careerin tech, gain new skills and experience forvirtually everyindustry, orleverageyourexpertiseto innovate at scale,impactmillionsandreimaginethe future of retail.
Walmart's culture is a competitive advantage, andit'sfostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.We use our campuses to create purposeful connections rooted in deepening understanding and investing in the development of our associates.

Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other greatperksinclude401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer - by choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities,ideasand opinionswhile beingwelcoming ofall people.
The above information has been designed toindicatethe general nature and level of work performed in the role. It is not designed tocontainor be interpreted as a comprehensive inventory of all responsibilities and qualificationsrequired ofemployees assigned to this job. The full Job Description can be made available as part of the hiring process.
#LI-onsite
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-10343: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- StockMinimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2501 Se J Street Ste B, Bentonville, AR 72712-7761, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

Social media

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